Multi-mode cooperative intelligent control method and system for photovoltaic sunshade curtain wall

Abstract

The invention relates to the technical field of photovoltaic sunshade curtain wall control, in particular to a multi-mode cooperative intelligent control method and system for a photovoltaic sunshade curtain wall, and the method comprises the steps: obtaining sensor data; according to the environment type data, the indoor state data and a preset triggering condition, operation modes to be executed are judged, the operation modes comprise a comfort mode, an energy-saving mode, a power generation mode and a safety mode, and all the operation modes are executed according to preset priorities; a target operation mode is determined according to the judgment result, a corresponding photovoltaic sunshade assembly adjusting angle is obtained through calculation based on the control logic of the target operation mode, and a control instruction is generated according to the photovoltaic sunshade assembly adjusting angle; and the control instruction is sent to the photovoltaic sunshade execution unit so as to adjust the photovoltaic sunshade assembly to the target angle. According to the invention, the illumination adjustment requirement can be met, and the power generation efficiency of the photovoltaic panel can be ensured.

Description

Technical Field

[0001] This application relates to the field of photovoltaic shading curtain wall control technology, and in particular to a multi-mode collaborative intelligent control method and system for photovoltaic shading curtain walls. Background Technology

[0002] With the promotion of building-integrated photovoltaics (BIPV) technology, photovoltaic shading curtain walls have become an important part of green buildings because they combine the dual functions of photovoltaic power generation and building shading.

[0003] However, most current photovoltaic shading curtain walls adopt a single control logic, focusing only on power generation efficiency or shading function, and cannot take into account the multi-dimensional needs of indoor comfort, building energy conservation and equipment safety. For example, some photovoltaic shading curtain walls adjust the shading components according to the angle of sunlight, and maintain the shading state when no one is indoors, wasting the power generation potential; some photovoltaic shading curtain walls only focus on maximizing power generation, but ignore the problems of excessively high indoor temperature caused by strong direct sunlight in summer and insufficient sunlight affecting indoor heat gain in winter. Summary of the Invention

[0004] Therefore, it is necessary to provide a multi-mode collaborative intelligent control method and system for photovoltaic shading curtain walls that can meet the needs of light regulation and ensure the power generation efficiency of photovoltaic panels, in order to address the above-mentioned technical problems.

[0005] In a first aspect, this application provides a multi-mode collaborative intelligent control method for photovoltaic shading curtain walls, the method comprising: Acquire sensor data, which includes at least environmental data reflecting the external environment and indoor status data characterizing indoor usage needs; Based on the environmental data, the indoor status data, and the preset trigger conditions, the operating mode to be executed is determined. The operating modes include comfort mode, energy-saving mode, power generation mode, and safety mode, and each operating mode is executed according to a preset priority. The target operating mode is determined based on the judgment result. The corresponding adjustment angle of the photovoltaic shading component is calculated based on the control logic of the target operating mode. Control commands are generated based on the adjustment angle of the photovoltaic shading component. The control command is sent to the photovoltaic shading execution unit to adjust the photovoltaic shading component to the target angle.

[0006] In one embodiment, determining the target operating mode based on the determination result and calculating the corresponding photovoltaic shading component adjustment angle based on the control logic of the target operating mode includes: If the target operating mode is determined to be the comfort mode based on the judgment result, then the zoned dimming control strategy is executed. The angle of the photovoltaic shading component is dynamically calculated and periodically updated according to the indoor functional zones, combined with the sub-zone illuminance target and solar parameters. If the target operating mode is determined to be the energy-saving mode based on the judgment result, the building heat gain optimization control strategy is executed, and the seasonal adjustment angle of the photovoltaic shading components is set according to the climate characteristics and building energy consumption requirements of different seasons. If the target operating mode is determined to be the power generation mode based on the judgment result, the MPPT power generation maximization control strategy is executed, and the power disturbance algorithm is used to determine the adjustment angle of the photovoltaic shading module. If the target operating mode is determined to be the safe mode based on the judgment result, the strong wind closed control strategy is executed. When the outdoor wind speed is detected to reach the safety warning threshold, the adjustment angle of the photovoltaic shading component is set to the preset closed angle.

[0007] In one embodiment, if the target operating mode is determined to be the comfort mode based on the determination result, then the zonal dimming control strategy is executed, which dynamically calculates and periodically updates the angle of the photovoltaic shading components according to the indoor functional zones, combined with the sub-zone illuminance target and solar radiation parameters. If the target operating mode is determined to be the comfort mode based on the judgment result, then the zoned dimming control strategy is executed, the indoor functional zones are divided into independent control sub-zones, and a sensor detection unit and a photovoltaic shading execution unit are configured for each independent control sub-zone. By combining the illuminance target and solar parameters of each independent control sub-zone, the adjustment angle of the photovoltaic shading module in the corresponding independent control sub-zone is dynamically calculated through the light environment adaptation algorithm. The adjustment angle of the photovoltaic shading component is updated according to a set cycle.

[0008] In one embodiment, if the target operating mode is determined to be the energy-saving mode based on the determination result, then the building heat gain optimization control strategy is executed. The seasonal adjustment angle of the photovoltaic shading components is set according to the climate characteristics and building energy consumption requirements of different seasons, including: If the target operating mode is determined to be the energy-saving mode based on the judgment result, the building heat gain optimization control strategy is executed. When the outdoor temperature in summer is higher than the preset high temperature threshold, the adjustment angle of the photovoltaic shading component is set to the preset summer shading angle, and when the outdoor temperature in winter is lower than the preset low temperature threshold, the adjustment angle of the photovoltaic shading component is set to the preset winter heat gain angle. Non-essential power generation optimization functions are started and stopped to reduce the equipment's own energy consumption.

[0009] In one embodiment, if the target operating mode is determined to be the power generation mode based on the determination result, the MPPT power generation maximization control strategy is executed, and a power perturbation algorithm is used to determine the adjustment angle of the photovoltaic shading module, including: If the target operating mode is determined to be the power generation mode based on the judgment result, the MPPT power generation maximization control strategy is executed, and the power disturbance algorithm is used to stabilize the output power of the photovoltaic shading module at the maximum power point and lock the angle of the photovoltaic shading module that maximizes the output power. The output power of the photovoltaic modules and the angle of the corresponding shading modules are dynamically retested and adjusted according to a preset cycle.

[0010] In one embodiment, determining the operating mode to be executed based on the environmental data, the indoor status data, and preset trigger conditions includes: If the current time is during a preset daytime period, the indoor status data shows that there are people active indoors, and the environmental data shows that the outdoor sunlight intensity is not lower than the light regulation requirement threshold, then the operating mode to be executed is determined to be comfort mode. If the current period is not a preset daytime period, or if the indoor status data shows that there are people active indoors but the environmental data shows that the outdoor sunlight intensity is lower than the light regulation requirement threshold, then the operating mode to be executed is determined to be the energy-saving mode. If the indoor status data shows that there is no human activity indoors, then the operating mode to be executed is determined to be the power generation mode; If the environmental data shows that the outdoor wind speed reaches the preset safety protection threshold, then the operating mode to be executed is determined to be the safe mode.

[0011] In one embodiment, the preset priorities, from high to low, are the safety mode, the comfort mode, the energy-saving mode, and the power generation mode. When the preset trigger conditions of multiple operating modes are met simultaneously, the operating mode with the highest priority is selected as the operating mode to be executed.

[0012] Secondly, this application also provides a multi-mode collaborative intelligent control device for photovoltaic shading curtain walls. The device includes: The data acquisition module is used to acquire sensor data, which includes at least environmental data reflecting the external environment and indoor status data characterizing indoor usage needs. The operation mode determination module is used to determine the operation mode to be executed based on the environmental data, the indoor status data and the preset trigger conditions. The operation modes include comfort mode, energy saving mode, power generation mode and safety mode, and each operation mode is executed according to a preset priority. The adjustment angle calculation module is used to determine the target operating mode based on the judgment result, calculate the corresponding photovoltaic shading component adjustment angle based on the control logic of the target operating mode, and generate control commands based on the photovoltaic shading component adjustment angle. The control command sending module is used to send the control command to the photovoltaic shading execution unit to adjust the photovoltaic shading component to the target angle.

[0013] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps: Acquire sensor data, which includes at least environmental data reflecting the external environment and indoor status data characterizing indoor usage needs; Based on the environmental data, the indoor status data, and the preset trigger conditions, the operating mode to be executed is determined. The operating modes include comfort mode, energy-saving mode, power generation mode, and safety mode, and each operating mode is executed according to a preset priority. The target operating mode is determined based on the judgment result. The corresponding adjustment angle of the photovoltaic shading component is calculated based on the control logic of the target operating mode. Control commands are generated based on the adjustment angle of the photovoltaic shading component. The control command is sent to the photovoltaic shading execution unit to adjust the photovoltaic shading component to the target angle.

[0014] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps: Acquire sensor data, which includes at least environmental data reflecting the external environment and indoor status data characterizing indoor usage needs; Based on the environmental data, the indoor status data, and the preset trigger conditions, the operating mode to be executed is determined. The operating modes include comfort mode, energy-saving mode, power generation mode, and safety mode, and each operating mode is executed according to a preset priority. The target operating mode is determined based on the judgment result. The corresponding adjustment angle of the photovoltaic shading component is calculated based on the control logic of the target operating mode. Control commands are generated based on the adjustment angle of the photovoltaic shading component. The control command is sent to the photovoltaic shading execution unit to adjust the photovoltaic shading component to the target angle.

[0015] In summary, this application includes the following beneficial technical effects: By collecting environmental and indoor status data, the system can perceive the external environment and capture indoor usage needs in real time, providing complete and reliable input for subsequent mode determination. Based on environmental and indoor status data and preset trigger conditions, it can flexibly switch between four modes: comfort, energy saving, power generation, and safety, achieving functional complementarity. The operating mode is executed according to preset priority to ensure safety is prioritized in abnormal or dangerous situations, improving the overall system's reliability and protection capabilities. The control logic based on the target operating mode calculates the corresponding photovoltaic shading component adjustment angle and generates control commands, enabling the shading curtain wall to meet both light regulation needs and photovoltaic panel power generation efficiency, solving the functional imbalance problem and improving the overall performance of the photovoltaic shading curtain wall. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating a multi-mode collaborative intelligent control method for a photovoltaic shading curtain wall in one embodiment. Figure 2 This is a flowchart illustrating a multi-mode collaborative intelligent control method for a photovoltaic shading curtain wall in another embodiment. Figure 3 This is a structural block diagram of a multi-mode collaborative intelligent control device for a photovoltaic shading curtain wall in one embodiment. Detailed Implementation

[0017] This invention provides a multi-mode collaborative intelligent control method and system for photovoltaic shading curtain walls.

[0018] The embodiments of the present invention will now be described in more detail with reference to the accompanying drawings. While some embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the accompanying drawings and embodiments are for illustrative purposes only and are not intended to limit the scope of protection of the present invention.

[0019] In the description of the embodiments disclosed in this invention, the term "comprising" and similar terms should be understood as open-ended inclusion, i.e., "including but not limited to". The term "based on" should be understood as "at least partially based on". The term "one embodiment" or "the embodiment" should be understood as "at least one embodiment". The terms "first", "second", etc., may refer to different or the same objects. Other explicit and implicit definitions may also be included below.

[0020] For ease of understanding, the specific process of the embodiments of the present invention is described below. Please refer to [link / reference]. Figure 1One embodiment of the multi-mode collaborative intelligent control method for photovoltaic shading curtain walls in this invention includes: S100, acquire sensor data.

[0021] Specifically, by deploying various types of sensors both inside and outside the building, two types of core data are collected in real time to provide a basis for subsequent pattern determination and angle calculation. Environmental data reflects the external environment of the building and includes at least outdoor solar intensity (collected by a solar intensity sensor), outdoor temperature (collected by a temperature sensor), outdoor wind speed (collected by a wind speed sensor), and solar incidence angle (calculated by a solar trajectory tracking module or directly collected by an angle sensor). Indoor status data characterizes indoor usage needs and the environment, including at least the activity status of indoor personnel (collected by infrared human body sensors, access control system linkage data, or indoor cameras that comply with privacy protection standards, which can output a occupant / unoccupied status signal). The sensors transmit the collected data to the system control unit in real time via wired (e.g., RS485 bus) or wireless (e.g., LoRa, WiFi) communication. The control unit preprocesses the raw data, such as filtering and noise reduction, and outlier removal, to ensure data accuracy and stability, providing reliable input for subsequent pattern determination.

[0022] S200 determines the operating mode to be executed based on environmental data, indoor status data, and preset trigger conditions.

[0023] Specifically, the control unit determines four operating modes—comfort mode, energy-saving mode, power generation mode, and safety mode—based on pre-processed environmental data and indoor status data, combined with preset trigger conditions, and strictly follows preset priorities for execution. When the trigger conditions for multiple modes are met simultaneously, the mode with the higher priority is executed first. Among them, the Comfort Mode prioritizes meeting indoor illuminance while also considering the comfort needs of indoor occupants for the lighting environment, avoiding problems such as strong glare or insufficient lighting, and maximizing the use of natural light while reducing artificial lighting energy consumption, implementing a zoned dimming control strategy; the Energy Saving Mode focuses on optimizing building heat gain, combining the climate characteristics of different seasons with the building's energy consumption needs, reducing the energy consumption of air conditioning (summer) and heating (winter) systems, while controlling the ineffective energy consumption of the equipment itself, achieving overall building energy saving; the Power Generation Mode focuses on maximizing MPPT (Maximum Power Point Tracking) power generation, optimizing the angle of photovoltaic shading components to ensure that the photovoltaic components always operate near the maximum power point, making full use of outdoor solar resources, and increasing photovoltaic power generation and revenue; the Safety Mode focuses on the safety protection of photovoltaic shading components, quickly adjusting the component angle to reduce the load impact of strong winds on the components, avoiding equipment failures such as component deformation and motor damage.

[0024] In this embodiment, the operating mode to be executed is determined based on environmental data, indoor status data, and preset trigger conditions. This can accurately cover different building usage scenarios and avoid the functional limitations of a single mode. By setting clear priorities, the most reasonable choice can be made when multiple operating modes conflict, ensuring that safety, comfort, and energy efficiency can be balanced under any circumstances.

[0025] S300 determines the target operating mode based on the judgment result, calculates the corresponding photovoltaic shading component adjustment angle based on the control logic of the target operating mode, and generates control commands based on the photovoltaic shading component adjustment angle.

[0026] Among them, photovoltaic shading components are integrated components that combine photovoltaic power generation and building shading functions. They integrate photovoltaic power generation units (such as photovoltaic panels) and shading adjustment units (such as blades), and are the core components of photovoltaic shading curtain walls. They can achieve goals such as shading and light adjustment, building heat gain control, maximizing photovoltaic power generation, and safety protection by adjusting their own angle, and adapt to different control needs in comfort mode, energy-saving mode, power generation mode, and safety mode.

[0027] Specifically, based on the judgment results obtained from environmental data, indoor status data, and preset trigger conditions, the target operating mode is determined. After the target operating mode is determined, the system automatically activates the core control target corresponding to the mode, such as locking the comfort mode. Then, based on the dedicated control logic of the target operating mode, the corresponding photovoltaic shading component adjustment angle is calculated, and control commands are generated according to the adjustment angle.

[0028] In this embodiment, the target operating mode is determined by the judgment result, the angle is calculated based on the mode, and the automatic instruction is generated, thereby realizing the intelligence, precision and efficiency of the photovoltaic shading system.

[0029] S400 sends control commands to the photovoltaic shading actuator to adjust the photovoltaic shading module to the target angle.

[0030] Specifically, the generated control commands (including parameters such as target angle and execution speed) are sent to the photovoltaic shading execution unit (such as a motor or servo motor drive system) via a communication bus. The execution unit drives the photovoltaic shading components (such as photovoltaic louvers or photovoltaic panels) to rotate or move to the target angle according to the commands. After execution, the execution unit sends a position signal to the control unit through the position feedback module. After receiving the position signal, the control unit confirms that the adjustment is successful and enters the next round of data acquisition and mode determination cycle. If the position signal is not received (such as motor failure or component jamming), an abnormal alarm mechanism is triggered, and the on-site audible and visual alarms remind the operation and maintenance personnel. At the same time, alarm information is sent remotely (such as SMS or platform notification), and the control commands are resent (up to 3 times) to ensure control reliability and fault traceability.

[0031] In one embodiment, such as Figure 2 As shown, S300 includes: S310, if the target operating mode is determined to be comfort mode based on the judgment result, then the zoned dimming control strategy is executed, and the angle of the photovoltaic shading component is dynamically calculated and periodically updated according to the indoor functional zones, combined with the sub-zone illuminance target and solar parameters. S320, if the target operating mode is determined to be energy-saving mode based on the judgment result, the building heat gain optimization control strategy is executed, and the seasonal adjustment angle of the photovoltaic shading module is set according to the climate characteristics and building energy consumption demand of different seasons. S330, if the target operating mode is determined to be the power generation mode based on the judgment result, the MPPT power generation maximization control strategy is executed, and the power disturbance algorithm is used to determine the adjustment angle of the photovoltaic shading module. S340, if the target operating mode is determined to be a safe mode based on the judgment result, the strong wind closed control strategy is executed. When the outdoor wind speed is detected to reach the safety warning threshold, the adjustment angle of the photovoltaic shading component is set to the preset closed angle.

[0032] Specifically, the angle of the photovoltaic shading module is calculated based on the control logic corresponding to the determined target mode. Specifically, if the target operating mode is determined to be comfort mode, a zoned dimming control strategy is implemented. The photovoltaic shading module needs to dynamically control the amount of sunlight entering the room by adjusting its angle (e.g., increasing the angle to reduce light intake, decreasing the angle to increase light intake) according to the illuminance targets of different functional zones (e.g., differentiated illuminance requirements for office areas and meeting areas), prioritizing the illuminance set for each zone. If the target operating mode is determined to be energy-saving mode, a building heat gain optimization control strategy is implemented. The photovoltaic shading module needs to adjust its angle according to seasonal characteristics (e.g., setting a summer shading angle to block solar radiation heat in summer, and a winter heat gain angle to increase solar radiation heat entering the room in winter). This angle adjustment optimizes the building's heat gain effect and helps reduce the energy consumption of air conditioning and heating systems. If the target operating mode is determined to be power generation mode, an MPPT (Maximum Power Generation Test) control strategy is implemented. The photovoltaic shading module needs to lock the angle that maximizes photovoltaic output power, ensuring that the integrated photovoltaic power generation unit always operates near its maximum power point, fully utilizing outdoor solar resources and maximizing photovoltaic power generation efficiency. If the target operating mode is determined to be a safe mode based on the judgment result, the photovoltaic shading module needs to respond to the strong wind closure control strategy and adjust to the preset closure angle (such as fully closed or retracted to the building wall angle) to minimize its own wind-exposed area, avoid strong wind loads that may cause module deformation or damage, and ensure equipment safety.

[0033] In one embodiment, if the target operating mode is determined to be comfort mode based on the judgment result, a zoned dimming control strategy is executed. This involves dynamically calculating and periodically updating the angle of the photovoltaic shading components according to indoor functional zones, combined with sub-zone illuminance targets and solar radiation parameters. If the target operating mode is determined to be comfort mode based on the judgment result, a zoned dimming control strategy is implemented. Independent control sub-zones are divided according to the indoor functional zones, and a sensor detection unit and a photovoltaic shading execution unit are configured for each independent control sub-zone. Combining the illuminance target and solar parameters of each independent control sub-zone, the adjustment angle of the photovoltaic shading component in the corresponding independent control sub-zone is dynamically calculated through a light environment adaptation algorithm. The adjustment angle of the photovoltaic shading component is updated according to a set period.

[0034] Specifically, independent control sub-zones are divided according to indoor functions (such as office areas, meeting areas, rest areas, and corridors). Each sub-zone is equipped with a dedicated sensing and detection unit (including illuminance sensors and personnel sensors) and a photovoltaic shading execution unit (controlling the photovoltaic shading components in the corresponding area), achieving one-zone-one-control. Combining the target illuminance value of each sub-zone with outdoor solar parameters (solar intensity and solar incidence angle), the adjustment angle of the photovoltaic shading components is dynamically calculated through a light environment adaptation algorithm. For example, when the actual solar intensity in the office area is >500 lux, the algorithm calculates to increase the angle of the shading components (reducing the amount of light entering); when the actual solar intensity is <500 lux, the algorithm calculates to decrease the angle of the shading components (increasing the amount of light entering), ensuring that the illuminance of the sub-zone remains stable within the target range. In addition, the illuminance data and solar incidence angle of each sub-zone are updated at a preset period, and the adjustment angle is recalculated to avoid illuminance fluctuations caused by changes in solar intensity, thus maintaining a comfortable indoor light environment at all times.

[0035] In one embodiment, if the target operating mode is determined to be an energy-saving mode based on the determination result, a building heat gain optimization control strategy is implemented. The seasonal adjustment angle of the photovoltaic shading modules is set according to the climate characteristics and building energy consumption requirements of different seasons, including: If the target operating mode is determined to be energy-saving mode based on the judgment result, the building heat gain optimization control strategy will be implemented. When the outdoor temperature is higher than the preset high temperature threshold in summer, the adjustment angle of the photovoltaic shading module will be set to the preset summer shading angle, and when the outdoor temperature is lower than the preset low temperature threshold in winter, the adjustment angle of the photovoltaic shading module will be set to the preset winter heat gain angle. The start-stop control of unnecessary power generation optimization functions will be implemented to reduce the energy consumption of the equipment itself.

[0036] Specifically, the energy-saving mode aims to reduce air conditioning / heating energy consumption. It sets targeted angles based on seasonal climate characteristics. Specifically, in summer, when the outdoor temperature exceeds a preset high-temperature threshold (default 28℃), the photovoltaic shading module's adjustment angle is set to a preset summer shading angle, which defaults to 60°~80° and can be fine-tuned according to the building's orientation, maximizing the blocking of solar radiation heat from entering the room and reducing air conditioning load. In winter, when the outdoor temperature falls below a preset low-temperature threshold (default 15℃), the photovoltaic shading module's adjustment angle is set to a preset winter heat gain angle, which defaults to 10°~30°, increasing solar radiation heat entering the room and reducing heating load. Unnecessary power generation optimization functions are controlled to start and stop, reducing the energy consumption of control units, sensors, and other equipment, further improving the overall energy-saving effect of the system.

[0037] In one embodiment, if the target operating mode is determined to be the power generation mode based on the determination result, the MPPT power generation maximization control strategy is executed, and the power perturbation algorithm is used to determine the adjustment angle of the photovoltaic shading module, including: If the target operating mode is determined to be the power generation mode based on the judgment result, the MPPT power generation maximization control strategy is executed. The power disturbance algorithm is used to stabilize the output power of the photovoltaic shading module at the maximum power point and lock the angle of the photovoltaic shading module that maximizes the output power. The output power of the photovoltaic module and the corresponding angle of the shading module are dynamically re-measured and adjusted according to the preset cycle.

[0038] Specifically, the power generation mode takes photovoltaic output power as its core objective and employs MPPT technology and a dynamic retesting mechanism. Specifically, it calls a power perturbation algorithm to make minor adjustments to the angle of the photovoltaic modules while simultaneously collecting the output voltage and current of the modules. It calculates the real-time output power, compares the power values ​​at different angles, and finds and locks in the photovoltaic shading module angle that maximizes power. For example, if the power is 220W at 15°, 225W at 16°, and 223W at 17°, then 16° is locked as the target angle. Furthermore, the output power of the photovoltaic modules and the corresponding shading module angle are retested at preset intervals. If the retest finds that the power at the current angle is lower than the maximum value, the power perturbation algorithm is re-executed to update the target angle, ensuring that the photovoltaic modules always operate near the maximum power point and maximizing power generation benefits.

[0039] In one embodiment, determining the operating mode to be executed based on environmental data, indoor status data, and preset trigger conditions includes: If the current time is during a preset daytime period, indoor status data shows that there is activity indoors, and environmental data shows that the outdoor solar intensity is not lower than the light regulation requirement threshold, then the operating mode to be executed is determined to be comfort mode; if the current time is outside a preset daytime period, or indoor status data shows that there is activity indoors but environmental data shows that the outdoor solar intensity is lower than the light regulation requirement threshold, then the operating mode to be executed is energy-saving mode; if indoor status data shows that there is no activity indoors, then the operating mode to be executed is power generation mode; if environmental data shows that the outdoor wind speed reaches the preset safety protection threshold, then the operating mode to be executed is safety mode.

[0040] Specifically, the comfort mode needs to meet three conditions simultaneously: first, it must be during a preset daytime period (e.g., 8:00-18:00); second, indoor status data shows that there is activity indoors; and third, environmental data shows that the outdoor solar intensity is greater than or equal to the light regulation threshold. If all three conditions are met, the operating mode to be executed is determined to be comfort mode. The energy-saving mode only needs to meet one of the following conditions: first, it must be outside a preset daytime period; second, indoor status data shows that there is activity indoors, but environmental data shows that the outdoor solar intensity is less than the light regulation threshold. If either condition is met, the operating mode to be executed is determined to be energy-saving mode. If indoor status data shows that there is no activity indoors (e.g., the infrared sensor has not detected a human signal for 5 consecutive minutes, the indoor lighting system is off, and the access control system has no record of personnel entering), it is determined to be power generation mode, focusing on maximizing photovoltaic power generation efficiency. If environmental data shows that the outdoor wind speed is greater than or equal to the preset safety protection threshold, regardless of whether other conditions are met, it is directly determined to be safety mode, prioritizing equipment safety.

[0041] In one embodiment, the preset priorities from high to low are safety mode, comfort mode, energy-saving mode, and power generation mode. When the preset trigger conditions of multiple operating modes are met simultaneously, the operating mode with the highest priority is selected as the operating mode to be executed.

[0042] Specifically, when the trigger conditions for multiple operating modes are met simultaneously, the mode with the highest priority is selected as the mode to be executed to avoid functional conflicts. For example, during the summer daytime (comfort mode trigger period), there are people indoors, but a sudden strong wind causes the wind speed to reach the safety threshold. In this case, the safety mode has the highest priority and is executed first, rather than the comfort mode. If there are no people indoors (power generation mode trigger condition) but it is outside the daytime (energy saving mode trigger condition), the power generation mode has a higher priority than the energy saving mode and is executed.

[0043] In one embodiment, such as Figure 3As shown, a multi-mode collaborative intelligent control device for photovoltaic shading curtain walls is provided, including: a data acquisition module 10, an operation mode determination module 20, an adjustment angle calculation module 30, and a control command sending module 40, wherein: The data acquisition module 10 is used to acquire sensor data, which includes at least environmental data reflecting the external environment and indoor status data characterizing indoor usage needs. The operation mode determination module 20 is used to determine the operation mode to be executed based on environmental data, indoor status data and preset trigger conditions. The operation modes include comfort mode, energy saving mode, power generation mode and safety mode, and each operation mode is executed according to preset priority. The adjustment angle calculation module 30 is used to determine the target operating mode based on the judgment result, calculate the corresponding photovoltaic shading component adjustment angle based on the control logic of the target operating mode, and generate control commands based on the photovoltaic shading component adjustment angle. The control command sending module 40 is used to send control commands to the photovoltaic shading execution unit to adjust the photovoltaic shading component to the target angle.

[0044] In one embodiment, the adjustment angle calculation module 30 is further configured to: if the target operating mode is determined to be a comfort mode based on the determination result, execute a zoned dimming control strategy, dynamically calculate and periodically update the angle of the photovoltaic shading component according to the indoor functional zones, combined with the sub-zone illuminance target and solar radiation parameters; if the target operating mode is determined to be an energy-saving mode based on the determination result, execute a building heat gain optimization control strategy, and set the seasonal adjustment angle of the photovoltaic shading component according to the climate characteristics and building energy consumption requirements of different seasons; if the target operating mode is determined to be a power generation mode based on the determination result, execute an MPPT power generation maximization control strategy, and use a power perturbation algorithm to determine the adjustment angle of the photovoltaic shading component; if the target operating mode is determined to be a safety mode based on the determination result, execute a high wind closed control strategy, and set the adjustment angle of the photovoltaic shading component to a preset closed angle when the outdoor wind speed is detected to reach the safety warning threshold.

[0045] In one embodiment, the adjustment angle calculation module 30 is further configured to execute a zoned dimming control strategy if the target operating mode is determined to be a comfort mode based on the determination result, divide the indoor functional zones into independent control sub-zones, and configure a sensing detection unit and a photovoltaic shading execution unit for each independent control sub-zone; dynamically calculate the adjustment angle of the photovoltaic shading component in the corresponding independent control sub-zone through a light environment adaptation algorithm, based on the illuminance target and solar parameters of each independent control sub-zone; and update the adjustment angle of the photovoltaic shading component according to a set period.

[0046] In one embodiment, the adjustment angle calculation module 30 is further configured to execute a building heat gain optimization control strategy if the target operating mode is determined to be an energy-saving mode based on the determination result. When the outdoor temperature is higher than a preset high temperature threshold in summer, the adjustment angle of the photovoltaic shading component is set to a preset summer shading angle, and when the outdoor temperature is lower than a preset low temperature threshold in winter, the adjustment angle of the photovoltaic shading component is set to a preset winter heat gain angle. The module also controls the start and stop of unnecessary power generation optimization functions to reduce the energy consumption of the equipment itself.

[0047] In one embodiment, the adjustment angle calculation module 30 is further configured to execute the MPPT power generation maximization control strategy if the target operating mode is determined to be the power generation mode based on the determination result, and to use the power disturbance algorithm to stabilize the output power of the photovoltaic shading module at the maximum power point and lock the angle of the photovoltaic shading module that maximizes the output power; and to dynamically remeasure and adjust the output power of the photovoltaic module and the corresponding shading module angle according to a preset cycle.

[0048] In one embodiment, the operation mode determination module 20 is further configured to determine the operation mode to be executed as comfort mode if the current period is a preset daytime period, the indoor status data shows that there is human activity indoors, and the environmental data shows that the outdoor solar intensity is not lower than the light regulation demand threshold; if the current period is not a preset daytime period, or the indoor status data shows that there is human activity indoors but the environmental data shows that the outdoor solar intensity is lower than the light regulation demand threshold, then the operation mode to be executed is energy-saving mode; if the indoor status data shows that there is no human activity indoors, then the operation mode to be executed is power generation mode; if the environmental data shows that the outdoor wind speed reaches a preset safety protection threshold, then the operation mode to be executed is safety mode.

[0049] In one embodiment, the multi-mode collaborative intelligent control device for photovoltaic shading curtain walls further includes a priority selection module, which is used to select the highest priority operating mode as the operating mode to be executed when the preset trigger conditions of multiple operating modes are met simultaneously.

[0050] In one embodiment, this application discloses a computer device including a memory and a processor. The memory stores a computer program that can run on the processor. When the processor loads the computer program, it executes a multi-mode collaborative intelligent control method for photovoltaic shading curtain walls as described in the above embodiment.

[0051] In one embodiment, this application discloses a computer-readable storage medium storing a computer program, wherein when the computer program is loaded by a processor, it executes a multi-mode collaborative intelligent control method for photovoltaic shading curtain walls as described above.

[0052] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A multi-mode synergistic intelligent control method for photovoltaic sunshade curtain walls, characterized in that, The method comprises the following steps: acquiring sensor data, which at least includes environment data reflecting an external environment state and indoor state data representing an indoor use requirement; determining a running mode to be executed according to the environment data, the indoor state data, and a preset trigger condition, wherein the running mode includes a comfort mode, an energy-saving mode, a power generation mode, and a safety mode, and each running mode is executed according to a preset priority; determining a target running mode according to the determination result, calculating a corresponding photovoltaic sunshade component adjustment angle based on a control logic of the target running mode, and generating a control instruction according to the photovoltaic sunshade component adjustment angle; sending the control instruction to a photovoltaic sunshade execution unit to adjust the photovoltaic sunshade component to a target angle.

2. The multi-mode synergic intelligent control method for photovoltaic sunshade curtain wall according to claim 1, characterized in that, The step of determining a target running mode according to the determination result, and calculating a corresponding photovoltaic sunshade component adjustment angle based on a control logic of the target running mode includes: if the target running mode is determined to be the comfort mode according to the determination result, performing a partitioned light adjustment control strategy, partitioning according to indoor functions, and dynamically calculating and periodically updating the photovoltaic sunshade component angle in combination with a sub-area illumination target and a sunlight parameter; if the target running mode is determined to be the energy-saving mode according to the determination result, performing a building heat gain optimization control strategy, setting a seasonal adjustment angle of the photovoltaic sunshade component according to climate characteristics and building energy consumption requirements in different seasons; if the target running mode is determined to be the power generation mode according to the determination result, performing an MPPT power generation maximization control strategy, and determining the photovoltaic sunshade component adjustment angle by using a power perturbation algorithm; if the target running mode is determined to be the safety mode according to the determination result, performing a high-wind closing control strategy, and setting the photovoltaic sunshade component adjustment angle to a preset closing angle when it is detected that an outdoor wind speed reaches a safety warning threshold.

3. The multi-mode synergic intelligent control method for photovoltaic solar shading curtain wall according to claim 2, characterized in that, The step of performing a partitioned light adjustment control strategy if the target running mode is determined to be the comfort mode according to the determination result, partitioning according to indoor functions, and dynamically calculating and periodically updating the photovoltaic sunshade component angle in combination with a sub-area illumination target and a sunlight parameter includes: if the target running mode is determined to be the comfort mode according to the determination result, performing a partitioned light adjustment control strategy, dividing independent control sub-areas according to indoor function partitioning, and configuring a sensor detection unit and a photovoltaic sunshade execution unit for each independent control sub-area; dynamically calculating a photovoltaic sunshade component adjustment angle of each independent control sub-area by using a light environment adaptation algorithm in combination with an illumination target and a sunlight parameter of each independent control sub-area; updating the photovoltaic sunshade component adjustment angle according to a set period.

4. The multi-mode synergic intelligent control method for photovoltaic solar shading curtain wall according to claim 2, characterized in that, The step of performing a building heat gain optimization control strategy if the target running mode is determined to be the energy-saving mode according to the determination result, and setting a seasonal adjustment angle of the photovoltaic sunshade component according to climate characteristics and building energy consumption requirements in different seasons includes: If the target operation mode is determined to be the energy-saving mode according to the determination result, a building heat gain optimization control strategy is executed, the photovoltaic sunshade component adjustment angle is set to a preset summer sunshade angle when the outdoor temperature in summer is higher than a preset high temperature threshold, and the photovoltaic sunshade component adjustment angle is set to a preset winter heat gain angle when the outdoor temperature in winter is lower than a preset low temperature threshold; The unnecessary power generation optimization function is started and stopped to reduce the energy consumption of the equipment itself.

5. The multi-mode synergic intelligent control method for photovoltaic solar shading curtain wall according to claim 2, characterized in that, If the target operation mode is determined to be the power generation mode according to the determination result, an MPPT power generation maximization control strategy is executed, and a power perturbation algorithm is used to determine the photovoltaic sunshade component adjustment angle. If the target operation mode is determined to be the power generation mode according to the determination result, an MPPT power generation maximization control strategy is executed, and a power perturbation algorithm is used to make the output power of the photovoltaic sunshade component stable at the maximum power point and lock the photovoltaic sunshade component angle that makes the output power maximum. The photovoltaic component output power and the corresponding sunshade component angle are dynamically retested and adjusted at a preset period.

6. The multi-mode synergic intelligent control method for photovoltaic solar screen wall according to claim 1, characterized in that, The determination of the operation mode to be executed includes: If the current is in a preset daytime period, the indoor state data shows that there is personnel activity in the room, and the environmental data shows that the outdoor sunshine intensity is not lower than the light adjustment demand threshold, it is determined that the operation mode to be executed is the comfort mode; If the current is not in a preset daytime period, or the indoor state data shows that there is personnel activity in the room but the environmental data shows that the outdoor sunshine intensity is lower than the light adjustment demand threshold, it is determined that the operation mode to be executed is the energy-saving mode; If the indoor state data shows that there is no personnel activity in the room, it is determined that the operation mode to be executed is the power generation mode; If the environmental data shows that the outdoor wind speed reaches a preset safety protection threshold, it is determined that the operation mode to be executed is the safety mode.

7. The multi-mode synergic intelligent control method for photovoltaic solar screen wall according to claim 1, characterized in that, The preset priority from high to low is the safety mode, the comfort mode, the energy-saving mode, and the power generation mode, and when the preset trigger conditions of multiple operation modes are met at the same time, the operation mode with the highest priority is selected as the operation mode to be executed.

8. A multi-mode synergic intelligent control device for photovoltaic sunshade curtain wall, characterized in that, It includes: A data acquisition module is configured to acquire sensor data, the sensor data at least including environmental data reflecting external environmental state and indoor state data representing indoor use demand; An operation mode determination module is configured to determine the operation mode to be executed according to the environmental data, the indoor state data, and a preset trigger condition, the operation mode including a comfort mode, an energy-saving mode, a power generation mode, and a safety mode, and each operation mode is executed according to a preset priority; An adjustment angle calculation module is configured to determine a target operation mode according to a determination result, calculate a corresponding photovoltaic sunshade component adjustment angle based on the control logic of the target operation mode, and generate a control instruction according to the photovoltaic sunshade component adjustment angle; A control instruction sending module is configured to send the control instruction to a photovoltaic sunshade execution unit to adjust the photovoltaic sunshade component to a target angle. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 7.

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